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<div class="title">CLAccessor.h</div>  </div>
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<a href="_c_l_accessor_8h.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno">    1</span>&#160;<span class="comment">/*</span></div><div class="line"><a name="l00002"></a><span class="lineno">    2</span>&#160;<span class="comment"> * Copyright (c) 2017-2018 ARM Limited.</span></div><div class="line"><a name="l00003"></a><span class="lineno">    3</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00004"></a><span class="lineno">    4</span>&#160;<span class="comment"> * SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00005"></a><span class="lineno">    5</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00006"></a><span class="lineno">    6</span>&#160;<span class="comment"> * Permission is hereby granted, free of charge, to any person obtaining a copy</span></div><div class="line"><a name="l00007"></a><span class="lineno">    7</span>&#160;<span class="comment"> * of this software and associated documentation files (the &quot;Software&quot;), to</span></div><div class="line"><a name="l00008"></a><span class="lineno">    8</span>&#160;<span class="comment"> * deal in the Software without restriction, including without limitation the</span></div><div class="line"><a name="l00009"></a><span class="lineno">    9</span>&#160;<span class="comment"> * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or</span></div><div class="line"><a name="l00010"></a><span class="lineno">   10</span>&#160;<span class="comment"> * sell copies of the Software, and to permit persons to whom the Software is</span></div><div class="line"><a name="l00011"></a><span class="lineno">   11</span>&#160;<span class="comment"> * furnished to do so, subject to the following conditions:</span></div><div class="line"><a name="l00012"></a><span class="lineno">   12</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00013"></a><span class="lineno">   13</span>&#160;<span class="comment"> * The above copyright notice and this permission notice shall be included in all</span></div><div class="line"><a name="l00014"></a><span class="lineno">   14</span>&#160;<span class="comment"> * copies or substantial portions of the Software.</span></div><div class="line"><a name="l00015"></a><span class="lineno">   15</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00016"></a><span class="lineno">   16</span>&#160;<span class="comment"> * THE SOFTWARE IS PROVIDED &quot;AS IS&quot;, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR</span></div><div class="line"><a name="l00017"></a><span class="lineno">   17</span>&#160;<span class="comment"> * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,</span></div><div class="line"><a name="l00018"></a><span class="lineno">   18</span>&#160;<span class="comment"> * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE</span></div><div class="line"><a name="l00019"></a><span class="lineno">   19</span>&#160;<span class="comment"> * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER</span></div><div class="line"><a name="l00020"></a><span class="lineno">   20</span>&#160;<span class="comment"> * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,</span></div><div class="line"><a name="l00021"></a><span class="lineno">   21</span>&#160;<span class="comment"> * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE</span></div><div class="line"><a name="l00022"></a><span class="lineno">   22</span>&#160;<span class="comment"> * SOFTWARE.</span></div><div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160;<span class="comment"> */</span></div><div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;<span class="preprocessor">#ifndef __ARM_COMPUTE_TEST_CLACCESSOR_H__</span></div><div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;<span class="preprocessor">#define __ARM_COMPUTE_TEST_CLACCESSOR_H__</span></div><div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160;</div><div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_c_l_tensor_8h.xhtml">arm_compute/runtime/CL/CLTensor.h</a>&quot;</span></div><div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_i_accessor_8h.xhtml">tests/IAccessor.h</a>&quot;</span></div><div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;</div><div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a></div><div class="line"><a name="l00031"></a><span class="lineno">   31</span>&#160;{</div><div class="line"><a name="l00032"></a><span class="lineno">   32</span>&#160;<span class="keyword">namespace </span>test</div><div class="line"><a name="l00033"></a><span class="lineno">   33</span>&#160;{</div><div class="line"><a name="l00035"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml">   35</a></span>&#160;<span class="keyword">class </span><a class="code" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml">CLAccessor</a> : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1test_1_1_i_accessor.xhtml">IAccessor</a></div><div class="line"><a name="l00036"></a><span class="lineno">   36</span>&#160;{</div><div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00045"></a><span class="lineno">   45</span>&#160;    <a class="code" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml#a99c3ff4aa653567f4b5ee28007f79dc2">CLAccessor</a>(<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a> &amp;tensor);</div><div class="line"><a name="l00046"></a><span class="lineno">   46</span>&#160;</div><div class="line"><a name="l00048"></a><span class="lineno">   48</span>&#160;    <a class="code" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml#a99c3ff4aa653567f4b5ee28007f79dc2">CLAccessor</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml">CLAccessor</a> &amp;) = <span class="keyword">delete</span>;</div><div class="line"><a name="l00050"></a><span class="lineno">   50</span>&#160;    <a class="code" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml">CLAccessor</a> &amp;<a class="code" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml#a527695a3d56533619c6cd0761ea06f61">operator=</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml">CLAccessor</a> &amp;) = <span class="keyword">delete</span>;</div><div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160;    <a class="code" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml#a99c3ff4aa653567f4b5ee28007f79dc2">CLAccessor</a>(<a class="code" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml">CLAccessor</a> &amp;&amp;) = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;    <a class="code" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml">CLAccessor</a> &amp;<a class="code" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml#a527695a3d56533619c6cd0761ea06f61">operator=</a>(<a class="code" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml">CLAccessor</a> &amp;&amp;) = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;</div><div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160;    <a class="code" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml#a5041d7243d610e3d7b0d9a1414497558">~CLAccessor</a>();</div><div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160;</div><div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">void</span> *<a class="code" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml#ad3b74abc0bab69f337c70783e73f5bef">data</a>() <span class="keyword">const</span>;</div><div class="line"><a name="l00068"></a><span class="lineno">   68</span>&#160;    <span class="keywordtype">void</span> *<a class="code" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml#ad3b74abc0bab69f337c70783e73f5bef">data</a>();</div><div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;</div><div class="line"><a name="l00070"></a><span class="lineno">   70</span>&#160;    <span class="comment">// Inherited method overrides</span></div><div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160;    <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>      <a class="code" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>() <span class="keyword">const override</span>;</div><div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;    <span class="keywordtype">size_t</span>           <a class="code" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml#a62b67b578f684c4d516843c9dea86a23">element_size</a>() <span class="keyword">const override</span>;</div><div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160;    <span class="keywordtype">size_t</span>           <a class="code" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml#ad7701a09a964eab360a8e51fa7ad2c16">size</a>() <span class="keyword">const override</span>;</div><div class="line"><a name="l00074"></a><span class="lineno">   74</span>&#160;    <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a>           <a class="code" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml#ac4b36cc1e56b0b7e579bb4b7196490db">format</a>() <span class="keyword">const override</span>;</div><div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;    <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a>       <a class="code" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml#a5f63b63606dbbbe54474e6e970a6738c">data_layout</a>() <span class="keyword">const override</span>;</div><div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;    <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>         <a class="code" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml#a9a3e72153aeb3ed212e9c3698774e881">data_type</a>() <span class="keyword">const override</span>;</div><div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;    <span class="keywordtype">int</span>              <a class="code" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml#abdd3637f2bbde9d7d0cc0b7bbd8400bb">num_channels</a>() <span class="keyword">const override</span>;</div><div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160;    <span class="keywordtype">int</span>              <a class="code" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml#aedcfdd4c3b92fe0d63b5463c7ad1d21e">num_elements</a>() <span class="keyword">const override</span>;</div><div class="line"><a name="l00079"></a><span class="lineno">   79</span>&#160;    <a class="code" href="structarm__compute_1_1_border_size.xhtml">PaddingSize</a>      <a class="code" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml#a79e20eacb1e963e24a21ebd7369effd7">padding</a>() <span class="keyword">const override</span>;</div><div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;    <span class="keywordtype">int</span>              <a class="code" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml#a35ccf2eb0c18a15feab2db98b307b78b">fixed_point_position</a>() <span class="keyword">const override</span>;</div><div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160;    <a class="code" href="structarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a> <a class="code" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml#ac74736e3863207232a23b7181c1d0f44">quantization_info</a>() <span class="keyword">const override</span>;</div><div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">void</span> *<a class="code" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml#a39537b09ccc3ce3d17922f4ef49a123f">operator()</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> &amp;coord) <span class="keyword">const override</span>;</div><div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160;    <span class="keywordtype">void</span> *<a class="code" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml#a39537b09ccc3ce3d17922f4ef49a123f">operator()</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> &amp;coord) <span class="keyword">override</span>;</div><div class="line"><a name="l00084"></a><span class="lineno">   84</span>&#160;</div><div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;<span class="keyword">private</span>:</div><div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160;    <a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a> &amp;_tensor;</div><div class="line"><a name="l00087"></a><span class="lineno">   87</span>&#160;};</div><div class="line"><a name="l00088"></a><span class="lineno">   88</span>&#160;</div><div class="line"><a name="l00089"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml#a99c3ff4aa653567f4b5ee28007f79dc2">   89</a></span>&#160;<span class="keyword">inline</span> <a class="code" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml#a99c3ff4aa653567f4b5ee28007f79dc2">CLAccessor::CLAccessor</a>(<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a> &amp;tensor)</div><div class="line"><a name="l00090"></a><span class="lineno">   90</span>&#160;    : _tensor{ tensor }</div><div class="line"><a name="l00091"></a><span class="lineno">   91</span>&#160;{</div><div class="line"><a name="l00092"></a><span class="lineno">   92</span>&#160;    _tensor.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#a14c53d2d17be6fa8a2c9861527c7b002">map</a>();</div><div class="line"><a name="l00093"></a><span class="lineno">   93</span>&#160;}</div><div class="line"><a name="l00094"></a><span class="lineno">   94</span>&#160;</div><div class="line"><a name="l00095"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml#a5041d7243d610e3d7b0d9a1414497558">   95</a></span>&#160;<span class="keyword">inline</span> <a class="code" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml#a5041d7243d610e3d7b0d9a1414497558">CLAccessor::~CLAccessor</a>()</div><div class="line"><a name="l00096"></a><span class="lineno">   96</span>&#160;{</div><div class="line"><a name="l00097"></a><span class="lineno">   97</span>&#160;    _tensor.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#a1ffeb3b5abb3d61f62b58a391816201c">unmap</a>();</div><div class="line"><a name="l00098"></a><span class="lineno">   98</span>&#160;}</div><div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;</div><div class="line"><a name="l00100"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">  100</a></span>&#160;<span class="keyword">inline</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> <a class="code" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">CLAccessor::shape</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00101"></a><span class="lineno">  101</span>&#160;<span class="keyword"></span>{</div><div class="line"><a name="l00102"></a><span class="lineno">  102</span>&#160;    <span class="keywordflow">return</span> _tensor.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#a97de03c31e0ca04be6960e2e3ffdca95">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a269b19ce3f357ac65f41f9951906e38e">tensor_shape</a>();</div><div class="line"><a name="l00103"></a><span class="lineno">  103</span>&#160;}</div><div class="line"><a name="l00104"></a><span class="lineno">  104</span>&#160;</div><div class="line"><a name="l00105"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml#a62b67b578f684c4d516843c9dea86a23">  105</a></span>&#160;<span class="keyword">inline</span> <span class="keywordtype">size_t</span> <a class="code" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml#a62b67b578f684c4d516843c9dea86a23">CLAccessor::element_size</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00106"></a><span class="lineno">  106</span>&#160;<span class="keyword"></span>{</div><div class="line"><a name="l00107"></a><span class="lineno">  107</span>&#160; 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   <span class="keywordflow">return</span> _tensor.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#a97de03c31e0ca04be6960e2e3ffdca95">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a35ccf2eb0c18a15feab2db98b307b78b">fixed_point_position</a>();</div><div class="line"><a name="l00148"></a><span class="lineno">  148</span>&#160;}</div><div class="line"><a name="l00149"></a><span class="lineno">  149</span>&#160;</div><div class="line"><a name="l00150"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml#ac74736e3863207232a23b7181c1d0f44">  150</a></span>&#160;<span class="keyword">inline</span> <a class="code" href="structarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a> <a class="code" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml#ac74736e3863207232a23b7181c1d0f44">CLAccessor::quantization_info</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00151"></a><span class="lineno">  151</span>&#160;<span class="keyword"></span>{</div><div class="line"><a name="l00152"></a><span class="lineno">  152</span>&#160; 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<div class="ttc" id="classarm__compute_1_1_i_c_l_tensor_xhtml_ace7b855e3c647d29cc37a1ce147901dc"><div class="ttname"><a href="classarm__compute_1_1_i_c_l_tensor.xhtml#ace7b855e3c647d29cc37a1ce147901dc">arm_compute::ICLTensor::buffer</a></div><div class="ttdeci">uint8_t * buffer() const override</div><div class="ttdoc">Interface to be implemented by the child class to return a pointer to CPU memory. ...</div></div>
<div class="ttc" id="classarm__compute_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarm__compute_1_1_tensor_shape.xhtml">arm_compute::TensorShape</a></div><div class="ttdoc">Shape of a tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_shape_8h_source.xhtml#l00039">TensorShape.h:39</a></div></div>
<div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_a35ccf2eb0c18a15feab2db98b307b78b"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#a35ccf2eb0c18a15feab2db98b307b78b">arm_compute::TensorInfo::fixed_point_position</a></div><div class="ttdeci">int fixed_point_position() const override</div><div class="ttdoc">Fixed point position used when the tensor data type is QS8 or QS16. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00247">TensorInfo.h:247</a></div></div>
<div class="ttc" id="structarm__compute_1_1_border_size_xhtml"><div class="ttname"><a href="structarm__compute_1_1_border_size.xhtml">arm_compute::BorderSize</a></div><div class="ttdoc">Container for 2D border size. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00291">Types.h:291</a></div></div>
<div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_a6f13b974eeb528acde66de8d9b3fd95c"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#a6f13b974eeb528acde66de8d9b3fd95c">arm_compute::TensorInfo::num_channels</a></div><div class="ttdeci">size_t num_channels() const override</div><div class="ttdoc">The number of channels for each tensor element. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00259">TensorInfo.h:259</a></div></div>
<div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_a5f63b63606dbbbe54474e6e970a6738c"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#a5f63b63606dbbbe54474e6e970a6738c">arm_compute::TensorInfo::data_layout</a></div><div class="ttdeci">DataLayout data_layout() const override</div><div class="ttdoc">Get the data layout of the tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00308">TensorInfo.h:308</a></div></div>
<div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_ac74736e3863207232a23b7181c1d0f44"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#ac74736e3863207232a23b7181c1d0f44">arm_compute::TensorInfo::quantization_info</a></div><div class="ttdeci">QuantizationInfo quantization_info() const override</div><div class="ttdoc">Get the quantization settings (scale and offset) of the tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00304">TensorInfo.h:304</a></div></div>
<div class="ttc" id="_c_l_tensor_8h_xhtml"><div class="ttname"><a href="_c_l_tensor_8h.xhtml">CLTensor.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1_c_l_accessor_xhtml_a527695a3d56533619c6cd0761ea06f61"><div class="ttname"><a href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml#a527695a3d56533619c6cd0761ea06f61">arm_compute::test::CLAccessor::operator=</a></div><div class="ttdeci">CLAccessor &amp; operator=(const CLAccessor &amp;)=delete</div><div class="ttdoc">Prevent instances of this class from being copied. </div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1_c_l_accessor_xhtml_aba5871b3e4a65d057ec1c28fce8b00ba"><div class="ttname"><a href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">arm_compute::test::CLAccessor::shape</a></div><div class="ttdeci">TensorShape shape() const override</div><div class="ttdoc">Shape of the tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_c_l_accessor_8h_source.xhtml#l00100">CLAccessor.h:100</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1_c_l_accessor_xhtml_a62b67b578f684c4d516843c9dea86a23"><div class="ttname"><a href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml#a62b67b578f684c4d516843c9dea86a23">arm_compute::test::CLAccessor::element_size</a></div><div class="ttdeci">size_t element_size() const override</div><div class="ttdoc">Size of each element in the tensor in bytes. </div><div class="ttdef"><b>Definition:</b> <a href="_c_l_accessor_8h_source.xhtml#l00105">CLAccessor.h:105</a></div></div>
<div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_a79e20eacb1e963e24a21ebd7369effd7"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#a79e20eacb1e963e24a21ebd7369effd7">arm_compute::TensorInfo::padding</a></div><div class="ttdeci">PaddingSize padding() const override</div><div class="ttdoc">Padding of tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00279">TensorInfo.h:279</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_tensor_xhtml_a97de03c31e0ca04be6960e2e3ffdca95"><div class="ttname"><a href="classarm__compute_1_1_c_l_tensor.xhtml#a97de03c31e0ca04be6960e2e3ffdca95">arm_compute::CLTensor::info</a></div><div class="ttdeci">TensorInfo * info() const override</div><div class="ttdoc">Interface to be implemented by the child class to return the tensor&amp;#39;s metadata. </div></div>
<div class="ttc" id="namespacearm__compute_xhtml"><div class="ttname"><a href="namespacearm__compute.xhtml">arm_compute</a></div><div class="ttdoc">This file contains all available output stages for GEMMLowp on OpenCL. </div><div class="ttdef"><b>Definition:</b> <a href="00__introduction_8dox_source.xhtml#l00001">00_introduction.dox:1</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1_c_l_accessor_xhtml_a35ccf2eb0c18a15feab2db98b307b78b"><div class="ttname"><a href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml#a35ccf2eb0c18a15feab2db98b307b78b">arm_compute::test::CLAccessor::fixed_point_position</a></div><div class="ttdeci">int fixed_point_position() const override</div><div class="ttdoc">Number of bits for the fractional part. </div><div class="ttdef"><b>Definition:</b> <a href="_c_l_accessor_8h_source.xhtml#l00145">CLAccessor.h:145</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1_c_l_accessor_xhtml_ad7701a09a964eab360a8e51fa7ad2c16"><div class="ttname"><a href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml#ad7701a09a964eab360a8e51fa7ad2c16">arm_compute::test::CLAccessor::size</a></div><div class="ttdeci">size_t size() const override</div><div class="ttdoc">Total size of the tensor in bytes. </div><div class="ttdef"><b>Definition:</b> <a href="_c_l_accessor_8h_source.xhtml#l00110">CLAccessor.h:110</a></div></div>
<div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_ac4b36cc1e56b0b7e579bb4b7196490db"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#ac4b36cc1e56b0b7e579bb4b7196490db">arm_compute::TensorInfo::format</a></div><div class="ttdeci">Format format() const override</div><div class="ttdoc">Colour format of the image. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00271">TensorInfo.h:271</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_tensor_xhtml_a14c53d2d17be6fa8a2c9861527c7b002"><div class="ttname"><a href="classarm__compute_1_1_c_l_tensor.xhtml#a14c53d2d17be6fa8a2c9861527c7b002">arm_compute::CLTensor::map</a></div><div class="ttdeci">void map(bool blocking=true)</div><div class="ttdoc">Enqueue a map operation of the allocated buffer. </div></div>
<div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_a9a3e72153aeb3ed212e9c3698774e881"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#a9a3e72153aeb3ed212e9c3698774e881">arm_compute::TensorInfo::data_type</a></div><div class="ttdeci">DataType data_type() const override</div><div class="ttdoc">Data type used for each element of the tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00267">TensorInfo.h:267</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1_c_l_accessor_xhtml_aedcfdd4c3b92fe0d63b5463c7ad1d21e"><div class="ttname"><a href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml#aedcfdd4c3b92fe0d63b5463c7ad1d21e">arm_compute::test::CLAccessor::num_elements</a></div><div class="ttdeci">int num_elements() const override</div><div class="ttdoc">Number of elements of the tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_c_l_accessor_8h_source.xhtml#l00135">CLAccessor.h:135</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1_c_l_accessor_xhtml_ad3b74abc0bab69f337c70783e73f5bef"><div class="ttname"><a href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml#ad3b74abc0bab69f337c70783e73f5bef">arm_compute::test::CLAccessor::data</a></div><div class="ttdeci">const void * data() const </div><div class="ttdoc">Get the tensor data. </div><div class="ttdef"><b>Definition:</b> <a href="_c_l_accessor_8h_source.xhtml#l00155">CLAccessor.h:155</a></div></div>
<div class="ttc" id="classarm__compute_1_1_i_tensor_xhtml_a48c7a05cc63f541d732250e39339cee2"><div class="ttname"><a href="classarm__compute_1_1_i_tensor.xhtml#a48c7a05cc63f541d732250e39339cee2">arm_compute::ITensor::ptr_to_element</a></div><div class="ttdeci">uint8_t * ptr_to_element(const Coordinates &amp;id) const </div><div class="ttdoc">Return a pointer to the element at the passed coordinates. </div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_8h_source.xhtml#l00063">ITensor.h:63</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">arm_compute::Format</a></div><div class="ttdeci">Format</div><div class="ttdoc">Image colour formats. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00050">Types.h:50</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1_c_l_accessor_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml">arm_compute::test::CLAccessor</a></div><div class="ttdoc">Accessor implementation for CLTensor objects. </div><div class="ttdef"><b>Definition:</b> <a href="_c_l_accessor_8h_source.xhtml#l00035">CLAccessor.h:35</a></div></div>
<div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_af398466b602a02b42d8df19fb66a6c60"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#af398466b602a02b42d8df19fb66a6c60">arm_compute::TensorInfo::total_size</a></div><div class="ttdeci">size_t total_size() const override</div><div class="ttdoc">Returns the total size of the tensor in bytes. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00275">TensorInfo.h:275</a></div></div>
<div class="ttc" id="classarm__compute_1_1_coordinates_xhtml"><div class="ttname"><a href="classarm__compute_1_1_coordinates.xhtml">arm_compute::Coordinates</a></div><div class="ttdoc">Coordinates of an item. </div><div class="ttdef"><b>Definition:</b> <a href="_coordinates_8h_source.xhtml#l00037">Coordinates.h:37</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1_c_l_accessor_xhtml_a5f63b63606dbbbe54474e6e970a6738c"><div class="ttname"><a href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml#a5f63b63606dbbbe54474e6e970a6738c">arm_compute::test::CLAccessor::data_layout</a></div><div class="ttdeci">DataLayout data_layout() const override</div><div class="ttdoc">Data layout of the tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_c_l_accessor_8h_source.xhtml#l00120">CLAccessor.h:120</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1_c_l_accessor_xhtml_a5041d7243d610e3d7b0d9a1414497558"><div class="ttname"><a href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml#a5041d7243d610e3d7b0d9a1414497558">arm_compute::test::CLAccessor::~CLAccessor</a></div><div class="ttdeci">~CLAccessor()</div><div class="ttdoc">Destructor that unmaps the CL memory. </div><div class="ttdef"><b>Definition:</b> <a href="_c_l_accessor_8h_source.xhtml#l00095">CLAccessor.h:95</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1_c_l_accessor_xhtml_a99c3ff4aa653567f4b5ee28007f79dc2"><div class="ttname"><a href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml#a99c3ff4aa653567f4b5ee28007f79dc2">arm_compute::test::CLAccessor::CLAccessor</a></div><div class="ttdeci">CLAccessor(CLTensor &amp;tensor)</div><div class="ttdoc">Create an accessor for the given tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_c_l_accessor_8h_source.xhtml#l00089">CLAccessor.h:89</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1_i_accessor_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1_i_accessor.xhtml">arm_compute::test::IAccessor</a></div><div class="ttdoc">Common interface to provide information and access to tensor like structures. </div><div class="ttdef"><b>Definition:</b> <a href="_i_accessor_8h_source.xhtml#l00037">IAccessor.h:37</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1_c_l_accessor_xhtml_a39537b09ccc3ce3d17922f4ef49a123f"><div class="ttname"><a href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml#a39537b09ccc3ce3d17922f4ef49a123f">arm_compute::test::CLAccessor::operator()</a></div><div class="ttdeci">const void * operator()(const Coordinates &amp;coord) const override</div><div class="ttdoc">Read only access to the specified element. </div><div class="ttdef"><b>Definition:</b> <a href="_c_l_accessor_8h_source.xhtml#l00165">CLAccessor.h:165</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1_c_l_accessor_xhtml_abdd3637f2bbde9d7d0cc0b7bbd8400bb"><div class="ttname"><a href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml#abdd3637f2bbde9d7d0cc0b7bbd8400bb">arm_compute::test::CLAccessor::num_channels</a></div><div class="ttdeci">int num_channels() const override</div><div class="ttdoc">Number of channels of the tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_c_l_accessor_8h_source.xhtml#l00130">CLAccessor.h:130</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1_c_l_accessor_xhtml_ac74736e3863207232a23b7181c1d0f44"><div class="ttname"><a href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml#ac74736e3863207232a23b7181c1d0f44">arm_compute::test::CLAccessor::quantization_info</a></div><div class="ttdeci">QuantizationInfo quantization_info() const override</div><div class="ttdoc">Quantization info in case of asymmetric quantized type. </div><div class="ttdef"><b>Definition:</b> <a href="_c_l_accessor_8h_source.xhtml#l00150">CLAccessor.h:150</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1_c_l_accessor_xhtml_ac4b36cc1e56b0b7e579bb4b7196490db"><div class="ttname"><a href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml#ac4b36cc1e56b0b7e579bb4b7196490db">arm_compute::test::CLAccessor::format</a></div><div class="ttdeci">Format format() const override</div><div class="ttdoc">Image format of the tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_c_l_accessor_8h_source.xhtml#l00115">CLAccessor.h:115</a></div></div>
<div class="ttc" id="classarm__compute_1_1_tensor_shape_xhtml_a4eaec01ba2c12093db609d1034ad0bc1"><div class="ttname"><a href="classarm__compute_1_1_tensor_shape.xhtml#a4eaec01ba2c12093db609d1034ad0bc1">arm_compute::TensorShape::total_size</a></div><div class="ttdeci">size_t total_size() const </div><div class="ttdoc">Collapses all dimensions to a single linear total size. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_shape_8h_source.xhtml#l00157">TensorShape.h:157</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1_c_l_accessor_xhtml_a79e20eacb1e963e24a21ebd7369effd7"><div class="ttname"><a href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml#a79e20eacb1e963e24a21ebd7369effd7">arm_compute::test::CLAccessor::padding</a></div><div class="ttdeci">PaddingSize padding() const override</div><div class="ttdoc">Available padding around the tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_c_l_accessor_8h_source.xhtml#l00140">CLAccessor.h:140</a></div></div>
<div class="ttc" id="structarm__compute_1_1_quantization_info_xhtml"><div class="ttname"><a href="structarm__compute_1_1_quantization_info.xhtml">arm_compute::QuantizationInfo</a></div><div class="ttdoc">Quantization settings (used for QASYMM8 data type) </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00127">Types.h:127</a></div></div>
<div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_a269b19ce3f357ac65f41f9951906e38e"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#a269b19ce3f357ac65f41f9951906e38e">arm_compute::TensorInfo::tensor_shape</a></div><div class="ttdeci">const TensorShape &amp; tensor_shape() const override</div><div class="ttdoc">Size for each dimension of the tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00263">TensorInfo.h:263</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6"><div class="ttname"><a href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">arm_compute::DataType</a></div><div class="ttdeci">DataType</div><div class="ttdoc">Available data types. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00072">Types.h:72</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_tensor_xhtml_a1ffeb3b5abb3d61f62b58a391816201c"><div class="ttname"><a href="classarm__compute_1_1_c_l_tensor.xhtml#a1ffeb3b5abb3d61f62b58a391816201c">arm_compute::CLTensor::unmap</a></div><div class="ttdeci">void unmap()</div><div class="ttdoc">Enqueue an unmap operation of the allocated and mapped buffer. </div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0"><div class="ttname"><a href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">arm_compute::DataLayout</a></div><div class="ttdeci">DataLayout</div><div class="ttdoc">Supported tensor data layouts. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00110">Types.h:110</a></div></div>
<div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_a62b67b578f684c4d516843c9dea86a23"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#a62b67b578f684c4d516843c9dea86a23">arm_compute::TensorInfo::element_size</a></div><div class="ttdeci">size_t element_size() const override</div><div class="ttdoc">Element size in bytes calculated as data_size() * num_channels() </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00251">TensorInfo.h:251</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1_c_l_accessor_xhtml_a9a3e72153aeb3ed212e9c3698774e881"><div class="ttname"><a href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml#a9a3e72153aeb3ed212e9c3698774e881">arm_compute::test::CLAccessor::data_type</a></div><div class="ttdeci">DataType data_type() const override</div><div class="ttdoc">Data type of the tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_c_l_accessor_8h_source.xhtml#l00125">CLAccessor.h:125</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_tensor_xhtml"><div class="ttname"><a href="classarm__compute_1_1_c_l_tensor.xhtml">arm_compute::CLTensor</a></div><div class="ttdoc">Basic implementation of the OpenCL tensor interface. </div><div class="ttdef"><b>Definition:</b> <a href="_c_l_tensor_8h_source.xhtml#l00039">CLTensor.h:39</a></div></div>
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